MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data

It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.

Author
Jiebiao Wang and Lin S. Chen
Date of publication
2016-04-06 09:43:04
Maintainer
Jiebiao Wang <randel.wang@gmail.com>
License
GPL
Version
1.0
URLs

View on CRAN

Man pages

MixRF
Mixed Random Forest
MixRF.impute
Impute a large number of genes using the MixRF algorithm with...
MixRF-package
A random-forest-based algorithm for imputing clustered...
sim
Simulated data list

Files in this package

MixRF
MixRF/NAMESPACE
MixRF/data
MixRF/data/sim.rda
MixRF/R
MixRF/R/MixRF.impute.r
MixRF/R/MixRF.r
MixRF/MD5
MixRF/DESCRIPTION
MixRF/man
MixRF/man/MixRF-package.Rd
MixRF/man/MixRF.impute.Rd
MixRF/man/MixRF.Rd
MixRF/man/sim.Rd